code: def __init__(
      self,
      num_classes=2,
      ori_shape=(720, 1280),
      cut_height=0,
      y_pixel_gap=10,
      points_nums=56,
      thresh=0.6,
      smooth=True,
  ):
      super(LaneProcessor, self).__init__()
      self.num_classes = num_classes
      self.ori_shape = ori_shape
      self.cut_height = cut_height
      self.y_pixel_gap = y_pixel_gap
      self.points_nums = points_nums
      self.thresh = thresh
      self.smooth = smooth
  
file_path: PaddleHub/modules/image/semantic_segmentation/bisenet_lane_segmentation/lane_processor/get_lane_coords.py
imports: import cv2
  import numpy
label_desc: Use image node_id 1 to create a new LaneProcessor object  with example: obj = LaneProcessor(num_classes, ori_shape, cut_height, y_pixel_gap, points_nums, thresh, smooth)